Research

"CReAL Lab integrates Artificial Intelligence, Computer Graphics, and Robotics
to explore how intelligent agents perceive, learn, and act across real and virtual environments."

Research Approach

We develop intelligent systems that understand and reproduce human–environment interactions.
Our goal is to bridge the physical and virtual worlds through integrated intelligence to create
immersive and creative experiences.

To achieve this, CReAL Lab conducts research in the following three core directions:

Capture — Represent complex human–environment interactions through multimodal sensing.
Model — Learn adaptive motion and agent behaviors using generative AI.
Realize — Integrate embodied intelligence into XR and robotic systems.

Research Topics

Generative Motion

Modeling and synthesizing human–object interaction using AI-based generative models.

Featured Work

Coexistent Reality

Connecting sensor-driven physical systems with AI-driven virtual environments to enable seamless interaction.